Advanced

Targeted proteomic analysis of habitual coffee consumption

Cornelis, M. C.; Gustafsson, S.; Ärnlöv, J.; Elmståhl, S. LU ; Söderberg, S.; Sundström, J.; Michaëlsson, K.; Lind, L. and Ingelsson, E. (2018) In Journal of Internal Medicine 283(2). p.200-211
Abstract

Background: Coffee drinking has been implicated in mortality and a variety of diseases but potential mechanisms underlying these associations are unclear. Large-scale systems epidemiological approaches may offer novel insights to mechanisms underlying associations of coffee with health. Objective: We performed an analysis of known and novel protein markers linked to cardiovascular disease and their association with habitual coffee intake in the Prospective Study of the Vasculature in Uppsala Seniors (PIVUS, n = 816) and followed up top proteins in the Uppsala Longitudinal Study of Adult Men (ULSAM, n = 635) and EpiHealth (n = 2418). Methods: In PIVUS and ULSAM, coffee intake was measured by 7-day dietary records whilst a computer-based... (More)

Background: Coffee drinking has been implicated in mortality and a variety of diseases but potential mechanisms underlying these associations are unclear. Large-scale systems epidemiological approaches may offer novel insights to mechanisms underlying associations of coffee with health. Objective: We performed an analysis of known and novel protein markers linked to cardiovascular disease and their association with habitual coffee intake in the Prospective Study of the Vasculature in Uppsala Seniors (PIVUS, n = 816) and followed up top proteins in the Uppsala Longitudinal Study of Adult Men (ULSAM, n = 635) and EpiHealth (n = 2418). Methods: In PIVUS and ULSAM, coffee intake was measured by 7-day dietary records whilst a computer-based food frequency questionnaire was used in EpiHealth. Levels of up to 80 proteins were assessed in plasma by a proximity extension assay. Results: Four protein–coffee associations adjusted for age, sex, smoking and BMI, met statistical significance in PIVUS (FDR < 5%, P < 2.31 × 10−3): leptin (LEP), chitinase-3-like protein 1 (CHI3L), tumour necrosis factor (TNF) receptor 6 and TNF-related apoptosis-inducing ligand. The inverse association between coffee intake and LEP replicated in ULSAM (β, −0.042 SD per cup of coffee, P = 0.028) and EpiHealth (β, −0.025 SD per time of coffee, P = 0.004). The negative coffee–CHI3L association replicated in EpiHealth (β, −0.07, P = 1.15 × 10−7), but not in ULSAM (β, −0.034, P = 0.16). Conclusions: The current study supports an inverse association between coffee intake and plasma LEP and CHI3L1 levels. The coffee–CHI3L1 association is novel and warrants further investigation given links between CHI3L1 and health conditions that are also potentially influenced by coffee.

(Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
biomarkers, coffee, epidemiology, population, proteomics
in
Journal of Internal Medicine
volume
283
issue
2
pages
200 - 211
publisher
Wiley-Blackwell Publishing Ltd
external identifiers
  • scopus:85040785705
ISSN
0954-6820
DOI
10.1111/joim.12703
language
English
LU publication?
yes
id
bdb8b428-da08-4155-99c6-8455493f3c06
date added to LUP
2018-02-05 16:41:12
date last changed
2018-05-29 11:22:18
@article{bdb8b428-da08-4155-99c6-8455493f3c06,
  abstract     = {<p>Background: Coffee drinking has been implicated in mortality and a variety of diseases but potential mechanisms underlying these associations are unclear. Large-scale systems epidemiological approaches may offer novel insights to mechanisms underlying associations of coffee with health. Objective: We performed an analysis of known and novel protein markers linked to cardiovascular disease and their association with habitual coffee intake in the Prospective Study of the Vasculature in Uppsala Seniors (PIVUS, n = 816) and followed up top proteins in the Uppsala Longitudinal Study of Adult Men (ULSAM, n = 635) and EpiHealth (n = 2418). Methods: In PIVUS and ULSAM, coffee intake was measured by 7-day dietary records whilst a computer-based food frequency questionnaire was used in EpiHealth. Levels of up to 80 proteins were assessed in plasma by a proximity extension assay. Results: Four protein–coffee associations adjusted for age, sex, smoking and BMI, met statistical significance in PIVUS (FDR &lt; 5%, P &lt; 2.31 × 10<sup>−3</sup>): leptin (LEP), chitinase-3-like protein 1 (CHI3L), tumour necrosis factor (TNF) receptor 6 and TNF-related apoptosis-inducing ligand. The inverse association between coffee intake and LEP replicated in ULSAM (β, −0.042 SD per cup of coffee, P = 0.028) and EpiHealth (β, −0.025 SD per time of coffee, P = 0.004). The negative coffee–CHI3L association replicated in EpiHealth (β, −0.07, P = 1.15 × 10<sup>−7</sup>), but not in ULSAM (β, −0.034, P = 0.16). Conclusions: The current study supports an inverse association between coffee intake and plasma LEP and CHI3L1 levels. The coffee–CHI3L1 association is novel and warrants further investigation given links between CHI3L1 and health conditions that are also potentially influenced by coffee.</p>},
  author       = {Cornelis, M. C. and Gustafsson, S. and Ärnlöv, J. and Elmståhl, S. and Söderberg, S. and Sundström, J. and Michaëlsson, K. and Lind, L. and Ingelsson, E.},
  issn         = {0954-6820},
  keyword      = {biomarkers,coffee,epidemiology,population,proteomics},
  language     = {eng},
  month        = {02},
  number       = {2},
  pages        = {200--211},
  publisher    = {Wiley-Blackwell Publishing Ltd},
  series       = {Journal of Internal Medicine},
  title        = {Targeted proteomic analysis of habitual coffee consumption},
  url          = {http://dx.doi.org/10.1111/joim.12703},
  volume       = {283},
  year         = {2018},
}